week3 Kamloops heat wave analysis
2024-05-20
Data
overview
## x y LOCAL_DATE TOTAL_PRECIPITATION
## Min. :-120.4 Min. :50.7 Length:26646 Min. : 0.0000
## 1st Qu.:-120.4 1st Qu.:50.7 Class :character 1st Qu.: 0.0000
## Median :-120.4 Median :50.7 Mode :character Median : 0.0000
## Mean :-120.4 Mean :50.7 Mean : 0.7279
## 3rd Qu.:-120.4 3rd Qu.:50.7 3rd Qu.: 0.3000
## Max. :-120.4 Max. :50.7 Max. :48.0000
## NA's :106
## MAX_TEMPERATURE MIN_TEMPERATURE TOTAL_RAIN MIN_REL_HUMIDITY
## Min. :-28.90 Min. :-37.200 Min. : 0.0000 Min. :10.00
## 1st Qu.: 5.60 1st Qu.: -2.200 1st Qu.: 0.0000 1st Qu.:28.00
## Median : 15.00 Median : 3.400 Median : 0.0000 Median :40.00
## Mean : 14.66 Mean : 3.231 Mean : 0.5476 Mean :43.51
## 3rd Qu.: 23.90 3rd Qu.: 10.000 3rd Qu.: 0.0000 3rd Qu.:59.00
## Max. : 47.30 Max. : 25.800 Max. :48.0000 Max. :97.00
## NA's :51 NA's :56 NA's :135 NA's :13805## x y LOCAL_DATE TOTAL_PRECIPITATION
## 0 0 0 106
## MAX_TEMPERATURE MIN_TEMPERATURE TOTAL_RAIN MIN_REL_HUMIDITY
## 51 56 135 13805check wrangling data
check temp dist for in a random day from all year value
## [1] 12.8 8.9 11.1 9.4 13.9 13.3 11.1 11.1 7.8 13.3 14.4 16.7 18.9 21.1
## [15] 15.0 8.3 5.0 12.8 11.7 20.0 15.6 11.7 11.1 11.1 10.6 10.6 11.1 15.6
## [29] 6.1 12.8 8.9 11.7 9.4 16.1 10.6 11.7 16.1 13.9 13.9 13.9 7.8 11.1
## [43] 13.9 15.6 14.4 12.8 10.6 8.3 10.6 7.8 3.3 -1.1 6.1 10.0 10.0 10.6
## [57] 6.7 -2.2 16.1 7.8 10.0 -0.6 -2.8 -6.1 0.0 6.7 7.2 7.2 12.8 15.6
## [71] 14.4 14.4 10.6 11.1 15.6 7.8 12.2 13.3 12.2 13.3 10.0 11.1 10.0 14.4
## [85] 12.8 12.8 12.8 15.0 16.1 9.4 9.4 10.0 8.3 13.3 10.6 12.2 12.2 13.3
## [99] 11.1 16.1 14.4 16.1 11.7 13.9 9.4 15.6 11.1 16.1 16.7 15.6 15.6 13.9
## [113] 13.9 14.4 7.8 12.2 14.4 14.4 15.6 7.8 15.6 9.4 11.7 14.4 14.4 13.3
## [127] 9.4 12.8 11.7 8.3 15.6 16.1 15.0 16.1 15.0 18.9 18.3 15.6 18.9 21.1
## [141] 11.7 17.2 13.3 13.3 12.2 11.1 13.9 20.0 22.8 24.4 11.7 10.6 11.7 13.9
## [155] 15.0 12.8 16.1 15.0 19.4 16.7 20.0 21.7 19.4 12.2 13.9 6.1 9.4 10.6
## [169] 10.6 13.3 12.2 8.9 13.3 15.0 16.7 17.8 17.8 20.6 20.6 18.3 22.2 14.4
## [183] 9.4 13.3 14.4 16.1 17.2 13.3 12.2 10.6 7.2 11.1 13.3 10.6 17.2 8.9
## [197] 3.3 0.0 3.3 5.6 7.8 11.1 15.6 18.3 18.9 16.7 12.2 13.9 17.8 11.7
## [211] 4.4 5.0 2.8 2.2 2.2 3.3 1.1 -3.3 8.3 13.9 16.7 11.1 15.0 15.6
## [225] 17.2 9.4 10.6 12.2 16.1 16.7 19.4 16.1 18.9 21.7 20.0 15.0 20.0 15.6
## [239] 17.2 20.0 10.6 10.6 13.3 11.1 6.7 10.0 11.1 11.7 8.3 7.8 10.0 13.9
## [253] 17.8 18.3 11.7 14.4 20.0 14.4 13.3 6.7 12.8 15.0 10.0 12.2 10.6 10.0
## [267] 8.3 12.2 12.8 15.0 15.0 5.6 11.1 12.8 13.9 12.8 18.3 17.8 16.7 21.1
## [281] 16.1 14.4 13.3 11.7 17.8 11.1 13.9 17.2 14.4 10.6 12.8 12.2 14.4 11.7
## [295] 12.8 9.4 15.6 12.8 13.9 15.6 6.1 1.1 7.8 11.7 10.6 3.3 8.9 7.8
## [309] 13.9 9.4 9.4 12.8 12.8 14.4 12.8 10.0 8.9 13.3 10.0 8.3 13.9 13.3
## [323] 14.4 18.9 16.1 20.0 13.3 8.9 12.2 10.6 8.3 13.9 15.6 13.3 9.4 12.8
## [337] 11.7 13.9 13.9 15.6 13.9 14.4 16.1 13.3 20.6 12.8 10.6 9.4 13.3 7.2
## [351] 13.9 15.0 13.9 11.1 13.9 14.4 10.6 13.9 12.2 13.3 6.7 9.4 10.0 5.6
## [365] 6.7 5.6 7.2 5.6 11.1 8.3 9.4 10.6 12.2 9.4 11.1 10.6 13.3 10.0
## [379] 9.4 9.4 11.7 10.6 10.6 11.7 15.0 10.0 11.1 13.3 16.7 14.4 16.0 11.6
## [393] 13.6 12.4 9.8 14.0 7.7 9.8 12.3 12.1 9.7 10.2 8.4 25.1 23.2 16.2
## [407] 13.2 12.3 16.2 16.7 16.1 12.2 11.8 14.9 10.6 13.7 14.7 12.4 15.0 13.4
## [421] 17.5 18.3 18.2 16.6 11.4 9.9 8.0 9.2 10.4 9.0 7.7 9.3 10.6 9.4
## [435] 9.1 15.7 11.7 10.6 11.3 11.5 11.0 14.5 15.8 11.2 13.5 9.7 15.0 16.0
## [449] 18.1 17.7 15.9 16.5 13.5 14.7 14.4 17.5 17.3 13.9 9.9 12.4 14.8 14.4
## [463] 11.9 10.4 10.1 12.5 11.3 15.1 12.4 18.2 12.2 9.0 5.1 10.4 10.9 8.3
## [477] 9.4 10.8 10.9 9.3 11.9 9.6 13.5 14.4 15.2 16.6 10.6 12.9 11.4 13.9
## [491] 15.7 12.3 13.4 16.0 17.8 14.0 15.4 14.4 14.8 8.0 12.5 14.5 11.3 14.5
## [505] 16.7 16.0 18.0 17.5 12.8 15.1 11.0 7.5 10.5 10.5 8.6 10.4 11.2 12.7
## [519] 11.9 9.5 12.7 21.7 13.1 10.2 12.5 16.0 13.1 14.2 9.5 12.1 15.3 20.4
## [533] 15.7 13.7 13.4 12.3 12.0 15.6 12.8 15.0 14.5 15.1 15.8 17.2 13.8 11.1
## [547] 9.6 10.1 15.4 10.9 18.5 22.4 23.3 22.5 17.9 11.7 9.2 13.0 10.8 9.7
## [561] 10.2 9.0 8.4 9.6 13.3 15.6 18.4 12.0 14.3 11.5 16.0 10.9 12.9 13.2
## [575] 8.5 13.0 15.3 13.8 14.5 13.5 12.5 10.6 12.7 11.9 12.4 11.6 4.0 8.2
## [589] 10.5 14.3 14.0 17.3 17.7 17.6 18.7 17.4 18.0 20.6 18.2 19.6 14.1 10.7
## [603] 7.0 10.3 6.2 8.1 13.9 15.0 14.8 18.8 21.7 19.2 15.0 15.0 16.3 15.4
## [617] 17.3 18.8 17.4 18.4 16.8 15.0 9.8 15.8 19.3 17.1 23.0 27.5 15.4 14.0
## [631] 11.1 8.8 10.9 12.7 18.1 20.3 19.4 20.4 22.3 22.2 22.8 22.5 16.5 11.5
## [645] 12.7 10.0 11.4 7.2 7.3 10.3 13.1 16.5 18.5 17.7 20.7 21.5 15.8 11.8
## [659] 15.7 15.9 11.9 8.3 5.0 6.9 8.6 7.5 8.6 8.5 6.7 7.6 9.6 9.4
## [673] 10.2 11.5 14.0 11.1 9.5 13.3 8.7 19.5 15.9 12.7 12.0 14.2 16.9 8.6
## [687] 12.4 12.1 7.3 11.1 16.3 12.5 7.9 16.3 15.1 13.9 8.8 8.5 13.2 9.1
## [701] 12.6 14.2 12.2 13.3 18.2 14.8 16.9 15.0 17.9 12.1 10.5 6.6 10.5 11.1
## [715] 12.3 12.7 15.0 15.6 7.5 9.6 15.8 15.8 11.4 12.2 12.9 16.2 14.9 12.3
## [729] 13.0 14.6 16.9 20.0 19.4 16.9 13.2 11.8 11.9 13.8 14.2 14.7 13.1 8.3
## [743] 10.0 9.6 11.3 9.8 9.1 10.6 13.0 17.1 -0.3 7.3 13.7 17.7 16.7 14.7
## [757] 8.3 13.5 11.6 12.8 17.3 6.4 8.8 14.3 17.5 16.7 16.0 11.2 9.8 13.1
## [771] 9.5 13.4 14.9 12.3 19.7 16.6 15.6 8.3 9.6 9.4 14.1 19.4 14.6 15.1
## [785] 14.4 13.7 15.8 16.7 23.3 18.1 12.8 15.7 18.2 21.9 20.6 11.1 6.9 6.5
## [799] 10.8 14.9 13.5 13.0 13.9 10.2 13.0 8.4 14.9 11.4 15.6 13.3 12.5 15.6
## [813] 18.6 14.0 13.2 12.0 11.8 11.7 17.4 16.3 13.4 14.7 15.4 13.0 15.1 9.0
## [827] 5.3 10.8 17.1 12.5 14.5 13.6 13.9 15.2 17.7 14.3 7.5 5.8 9.3 8.7
## [841] 11.7 11.4 14.6 9.4 10.0 8.2 8.5 6.5 10.4 10.4 8.6 8.7 13.5 15.0
## [855] 12.2 10.0 12.9 11.3 12.2 8.4 13.9 12.1 8.5 10.4 11.4 11.1 9.3 10.5
## [869] 10.5 14.2 17.2 14.9 16.3 18.4 15.0 14.7 14.7 16.0 13.4 11.5 12.0 12.4
## [883] 9.4 13.1 13.3 8.4 12.1 12.9 4.1 10.2 13.1 11.1 15.3 14.3 18.9 13.7
## [897] 8.6 12.6 13.1 13.8 9.3 10.7 12.5 14.2 15.8 16.7 15.2 14.9 13.0 14.6
## [911] 8.8 7.9 13.9 18.0 11.7 8.4 6.9 8.0 10.8 13.5 15.6 16.8 17.6 19.1
## [925] 19.7 21.0 21.8 19.7 17.9 12.7 8.1 4.3 8.2 9.1 8.1 8.5 9.1 9.7
## [939] 13.8 12.8 11.7 14.2 14.4 13.2 14.4 15.6 14.5 15.5 13.7 7.3 11.6 23.0
## [953] 18.2 19.7 20.4 11.9 12.6 14.0 12.8 13.1 17.2 15.3 13.4 14.2 13.2 16.0
## [967] 10.2 15.5 17.5 21.8 22.5 23.1 22.9 21.1 14.6 10.1 14.0 9.2 10.7 14.2
## [981] 9.9 14.7 14.7 11.5 13.9 14.9 15.3 11.5 12.8 14.9 14.8 13.7 8.6 9.9
## [995] 9.8 9.8 17.4 13.7 10.5 14.2 8.5 6.9 7.3 10.7 12.5 NA 18.8 18.2
## [1009] 15.6 13.6 14.3 NA 16.9 18.1 17.3 18.9 17.8 18.7 9.9 18.4 15.2 10.8
## [1023] 11.0 10.3 9.6 11.3 13.7 12.7 14.8 12.9 6.9 4.1 6.6 3.9 5.3 9.1
## [1037] 11.9 10.6 12.5 NA 9.3 15.2 14.9 6.8 NA 15.2 18.7 15.1 18.0 10.8
## [1051] 14.8 11.6 20.0 12.5 15.2 14.2 10.9 15.0 17.6 11.0 NA 14.1 15.2 17.1
## [1065] 13.9 15.1 15.8 13.5 10.1 11.0 12.5 12.1 13.0 13.2 16.1 9.3 10.9 9.9
## [1079] 10.6 12.4 14.8 11.7 NA 15.4 16.5 12.2 10.2 14.5 12.5 11.1 14.3 21.6
## [1093] 22.0 13.8 11.0## [1] 1095get 90th from the all year for all day value
## [1] 6.00 6.00 5.80 5.97 6.10 6.10 6.39 6.40 6.60 6.60 6.40 6.60
## [13] 6.40 6.30 6.31 6.30 6.36 6.41 6.40 6.40 6.50 6.70 6.70 6.96
## [25] 7.20 7.30 7.50 7.80 7.80 8.30 8.40 8.31 8.30 8.40 8.40 8.70
## [37] 8.76 8.86 8.90 8.90 8.96 9.00 9.00 9.20 9.40 9.40 9.60 9.70
## [49] 10.00 10.00 10.30 10.50 10.60 10.60 10.60 10.90 11.10 11.12 11.52 11.70
## [61] 11.70 12.20 12.50 13.00 13.20 13.50 13.90 14.10 14.39 14.40 14.60 14.80
## [73] 15.00 15.30 15.50 15.60 15.60 15.80 15.90 16.07 16.10 16.20 16.70 16.90
## [85] 17.30 17.50 17.80 18.00 18.20 18.40 18.70 18.90 19.30 19.40 19.73 20.00
## [97] 20.18 20.30 20.54 20.60 20.60 20.82 21.10 21.30 21.50 21.70 21.70 22.00
## [109] 22.33 22.60 22.80 22.80 23.06 23.38 23.60 23.70 23.90 24.40 24.40 24.60
## [121] 25.00 25.52 25.80 26.10 26.20 26.47 26.70 26.70 26.80 27.12 27.50 27.80
## [133] 27.80 27.90 27.90 28.26 28.50 28.60 28.62 28.90 28.90 29.26 29.40 29.40
## [145] 29.40 29.42 29.70 30.00 30.00 30.31 30.56 30.60 30.70 30.70 31.10 31.10
## [157] 31.10 30.71 30.81 31.10 31.10 31.20 31.42 31.66 31.42 31.70 31.70 31.70
## [169] 31.90 32.20 32.20 32.40 32.80 33.04 33.30 33.30 33.50 33.50 33.73 33.73
## [181] 33.68 33.58 33.80 33.90 34.20 34.40 34.40 34.40 34.50 34.50 34.80 34.87
## [193] 34.90 35.00 35.00 35.40 35.50 35.50 35.60 35.60 35.60 36.00 36.00 36.10
## [205] 36.10 36.20 36.20 36.20 36.20 36.13 36.10 36.10 36.10 36.10 36.10 36.10
## [217] 36.05 36.00 35.80 35.60 35.60 35.60 35.50 35.50 35.40 35.36 35.00 35.00
## [229] 35.00 34.70 34.60 34.40 34.20 33.90 33.79 33.50 33.30 33.10 32.80 32.50
## [241] 32.20 32.20 32.20 31.76 31.70 31.40 31.24 31.10 31.00 30.60 30.50 30.40
## [253] 30.27 30.00 30.00 29.60 29.20 28.90 28.80 28.60 28.30 28.30 27.89 27.74
## [265] 27.34 27.10 26.42 26.10 25.70 25.60 25.21 25.00 24.70 24.40 24.30 23.91
## [277] 23.60 23.30 22.80 22.30 21.81 21.30 21.00 20.64 20.60 20.50 20.10 19.90
## [289] 19.40 18.90 18.70 18.30 18.30 17.90 17.80 17.40 17.23 17.00 16.70 16.60
## [301] 16.20 16.10 15.70 15.50 15.28 14.80 14.40 14.20 13.90 13.70 13.40 13.30
## [313] 13.10 12.89 12.80 12.40 12.20 11.90 11.70 11.60 11.40 11.10 11.06 10.80
## [325] 10.60 10.30 10.00 9.90 9.60 9.40 9.40 9.32 8.80 8.46 8.30 8.30
## [337] 8.12 8.00 8.00 7.80 7.80 7.83 7.80 7.80 7.80 7.70 7.55 7.30
## [349] 7.30 7.27 7.20 7.20 7.20 7.20 7.00 6.90 6.70 6.50 6.27 6.10
## [361] 6.10 6.10 6.00 6.00 6.00 6.00Plot
plot given year temp dist vs baseline 90th
## `summarise()` has grouped output by 'Month'. You can override using the
## `.groups` argument.## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
plot all year temp in grey vs baseline
## Warning: Removed 281 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
Analyze the hw
hw dist for certain 1 year
prepare for the data
## # A tibble: 30 × 7
## Month Day Percentile_90 MAX_TEMP_YEAR DayOfYear Condition Cumulative_Count
## <int> <int> <dbl> <dbl> <dbl> <lgl> <dbl>
## 1 1 4 5.97 12 4 TRUE 1
## 2 1 5 6.1 7.6 5 TRUE 2
## 3 1 6 6.1 8.7 6 TRUE 3
## 4 1 19 6.4 11 19 TRUE 1
## 5 1 27 7.5 11.4 27 TRUE 1
## 6 3 18 15.8 15.9 77 TRUE 1
## 7 3 19 15.9 16.8 78 TRUE 2
## 8 3 20 16.1 18.6 79 TRUE 3
## 9 3 22 16.2 18.8 81 TRUE 1
## 10 3 23 16.7 18.2 82 TRUE 2
## # ℹ 20 more rowsplot hw analysis for all year
plot overall count of hw through years
plot for heat map
examine specific year
## Warning: Removed 281 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).## Warning: Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 281 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Warning: Removed 280 rows containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).
## Removed 1 row containing missing values or values outside the scale range
## (`geom_line()`).